Acute phase response induction by cancer treatment with photodynamic therapy
Bibliographic record
Abstract
Inflammation and immunity development are well recognized as responses to tumor treatment by photodynamic therapy (PDT). To demonstrate that another major host response effector process, acute phase response, may be also induced by this cancer treatment modality, the expression of serum amyloid P component (SAP) acknowledged as a hallmark acute phase reactant in the mouse was investigated following PDT of murine FsaR fibrosarcomas. The results reveal almost 150-fold increase in the expression of SAP gene in the liver of mice bearing tumors treated by Photofrin-mediated PDT, while serum SAP levels increased around 50-fold at the peak interval about 24 hr post PDT. The same tumor treatment induced also the liver gene upregulation and serum levels elevation of another established acute phase reactant, mannose-binding lectin A (MBL-A). Both SAP and MBL-A were found to accumulate in PDT-treated tumors, but this includes local production because their genes in these tumor tissues were upregulated as well. Gene encoding C-reactive protein (CRP) was also upregulated almost 7-fold in the same tumor tissues, suggesting a rare example of CRP participation in host response of the mouse. Interleukin-6 and glucocorticoid hormones were identified as major mediators promoting tumor PDT-induced upregulation of liver SAP gene. Moreover, glucocorticoids were found to act as critical inducers of SAP gene upregulation in PDT-treated tumors. The study definitely proves the occurrence of a strong acute phase response following tumor PDT, and reveals that glucocorticoid hormones released during this development impact the expression of host response-relevant genes in PDT-treated tumors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".